Triple
T5015863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ethernet |
E112739
|
entity |
| Predicate | coInventedBy |
P632
|
FINISHED |
| Object |
David Boggs
David Boggs was an American electrical engineer and computer scientist best known as the co-inventor of Ethernet networking technology at Xerox PARC.
|
E488090
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: David Boggs | Statement: [Ethernet, coInventedBy, David Boggs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Boggs Context triple: [Ethernet, coInventedBy, David Boggs]
-
A.
Jim Douglas
Jim Douglas is an American Republican politician who served as the 80th Governor of Vermont from 2003 to 2011.
-
B.
Jean Peters
Jean Peters was an American film actress best known for her leading roles in 1940s and 1950s Hollywood adventure and drama films.
-
C.
David Dellinger
David Dellinger was a prominent American pacifist and anti–Vietnam War activist best known as one of the Chicago Seven defendants.
-
D.
John T. Woolley
John T. Woolley is a political scientist and academic known for co-founding the American Presidency Project, a major online archive of U.S. presidential documents.
-
E.
David Dodd
David Dodd was an American economist, Columbia Business School professor, and influential co-author of the classic value investing text "Security Analysis."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: David Boggs Triple: [Ethernet, coInventedBy, David Boggs]
Generated description
David Boggs was an American electrical engineer and computer scientist best known as the co-inventor of Ethernet networking technology at Xerox PARC.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: David Boggs Target entity description: David Boggs was an American electrical engineer and computer scientist best known as the co-inventor of Ethernet networking technology at Xerox PARC.
-
A.
Jim Douglas
Jim Douglas is an American Republican politician who served as the 80th Governor of Vermont from 2003 to 2011.
-
B.
Jean Peters
Jean Peters was an American film actress best known for her leading roles in 1940s and 1950s Hollywood adventure and drama films.
-
C.
David Dellinger
David Dellinger was a prominent American pacifist and anti–Vietnam War activist best known as one of the Chicago Seven defendants.
-
D.
John T. Woolley
John T. Woolley is a political scientist and academic known for co-founding the American Presidency Project, a major online archive of U.S. presidential documents.
-
E.
David Dodd
David Dodd was an American economist, Columbia Business School professor, and influential co-author of the classic value investing text "Security Analysis."
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd4434acb8819086679dbeccc2fe54 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd77c9fc7c8190b165a5cfd5889ba8 |
completed | March 20, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be9c5e06fc8190bdd875c04cefd789 |
completed | March 21, 2026, 1:25 p.m. |
| NEDg | Description generation | batch_69be9e2508bc81909f24dd56e01d83fa |
completed | March 21, 2026, 1:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9e9b2d5c81908df67c69e7e96619 |
completed | March 21, 2026, 1:35 p.m. |
Created at: March 20, 2026, 1:35 p.m.